Results 91 to 100 of about 490,742 (319)

Reprogramming M2b Macrophages via GPX1 Activation by Selenium Nanoparticles Attenuates Lupus Nephritis

open access: yesAdvanced Science, EarlyView.
SeZM NPs selectively target M2b macrophages through mannose–MRC1 (CD206) recognition, enhance GPX1 biosynthesis, and suppress mitochondrial ROS generation, oxidative stress, and JAK–STAT signaling. This dual regulation reduces pro‐inflammatory cytokine release, limits immune cell infiltration and fibrosis, and preserves renal function, providing a ...
Haoran Lv   +16 more
wiley   +1 more source

Unification modulo presburger arithmetic and other decidable theories

open access: yesRevista Colombiana de Computación, 2001
We present a general uni cation algorithm modulo Presburger Arithmetic for a re- stricted class of modularly speci ed theories where function symbols of the target theory have non arithmetic codomain sorts.
Mauricio Ayala Rincón   +1 more
doaj  

A Low Power Memristor Based on 2h-Mote2 Nanosheets with Synaptic Plasticity and Arithmetic Functions

open access: green, 2022
Zhiwei Zhao   +8 more
openalex   +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

open access: yesAdvanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou   +4 more
wiley   +1 more source

Recruitment of the premotor cortex during arithmetic operations by the monkey

open access: yesScientific Reports
Arithmetic operations are complex mental processes rooted in the abstract concept of numerosity. Despite the significance, the neural architecture responsible for these operations has remained largely uncharted. In this study, we explored the presence of
Sumito Okuyama   +2 more
doaj   +1 more source

Analog Signal Summation for Reinforcement Learning via Simultaneous Light–Voltage Modulation in a Synaptic Device

open access: yesAdvanced Science, EarlyView.
To overcome limitations of conventional AI hardware, a light‐voltage dual‐modulating synaptic (LVDS) transistor using an IGZO/InAs quantum dot hybrid structure is proposed. LVDS transistor enables analog summation for Dueling Deep Q‐Networks by independently modulating memory via optical and electrical stimuli.
Dong Gue Roe   +10 more
wiley   +1 more source

Al Nanoparticle‐Decorated Metal Oxide Synaptic Transistors for Ultralow‐Energy Neuromorphic Computing with Wide Dynamic Range

open access: yesAdvanced Science, EarlyView.
A nanoparticle‐engineered electrolyte‐gated memtransistor is introduced as a materials‐level strategy to overcome the intrinsic trade‐off between energy consumption and synaptic precision. By embedding aluminum nanoparticles at the oxide–electrolyte interface to modulate ion trapping dynamics, the device achieves stable multistate plasticity under ...
Jun‐Gyu Choi   +4 more
wiley   +1 more source

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